Twitter Sentiment Analysis

submited by

Style Pass

2021-07-29 09:00:11

Let's take a quick look at how you can do sentiment analysis on tweets. Whether you're doing stock prediction or trying to measure brand sentiment or something else entirely, we've got you covered. We're going to look at the steps and the libraries you'll need to do sentiment analysis in Python or Javascript.

If you don't want to write code or fiddle with API keys you can download a CSV file of tweets with sentiment analysis already included. Just sign in with Twitter to get started.

There are two main steps in doing sentiment analysis on tweets. The first step is to get the data, and the second step is to perform the sentiment analysis. To get the data you will need an developer API key from Twitter. Once you have the data you can perform sentiment analysis using a library for your language. Let's go over the details.

Before you can interact with the Twitter API at all you'll need an API key. To get an API key you have to sign up for developer access and then create a project in the developer portal. Go to developer.twitter.com/en/apply-for-access to get started. Once you have developer access you can create a "project" through the portal interface.